COMPARISON OF 2 STRATEGIES FOR ANALYSIS OF VARIANCE IN NONORTHOGONAL DESIGNS
COMPARISON OF 2 STRATEGIES FOR ANALYSIS OF VARIANCE IN NONORTHOGONAL DESIGNS
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DOI：
10.1037/0033-2909.90.2.367
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发表时间：
1981-01-01
影响因子：
22.4
通讯作者：
HORNICK, CW
中科院分区：
文献类型：
--
作者：
OVERALL, JE;LEE, DM;HORNICK, CW
Compared the MI Appelbaum and EM Cramer (see record 1974-28956-001) comparison of models strategy for analysis of data from nonorthogonal designs with the JE Overall and DK Spiegal (see record 1970-01534-001) Method 1 general linear model analysis. Data were generated by Monte Carlo methods to include known true ANOVA main and interaction effects. In the presence of a true but nonsignificant interaction, estimates of main effect parameters derived from the Method 1 general linear model analysis were significantly closer to the true values. Greater accuracy in estimation of main effects in the presence of a significant interaction was also observed. The danger of letting observed data determine the ANOVA model and the hypotheses to be tested is emphasized.(12 ref)(PsycINFO Database Record (c) 2016 APA, all rights reserved)
